Chellu Chandra Sekhar

发表

A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification

Abhiram Kumar Singh, Chellu Chandra Sekhar, 2017, PReMI.

GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines

Chellu Chandra Sekhar, A. D. Dileep, Aroor Dinesh Dileep, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Recognition of consonant-vowel utterances using Support Vector Machines

Kazuya Takeda, Fumitada Itakura, Chellu Chandra Sekhar, 2001, ESANN.

Tensor Deep Stacking Networks and Kernel Deep Convex Networks for Annotating Natural Scene Images

Chellu Chandra Sekhar, Niharjyoti Sarangi, C. Sekhar, 2015, ICPRAM.

Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework

Chellu Chandra Sekhar, Ujjal Kr Dutta, 2018, ICANN.

Detection of vowel on set points in continuous speech using autoassociative neural network models

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2004, INTERSPEECH.

Bayesian Mixture of AR Models for Time Series Clustering

Chellu Chandra Sekhar, Venkataramana B. Kini, C. Sekhar, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

An acoustic-phonetic expert for analysis and processing of continuous speech in hindi

Bayya Yegnanarayana, S. K. Gupta, Chellu Chandra Sekhar, 1987, ECST.

Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines

Kazuya Takeda, Fumitada Itakura, Chellu Chandra Sekhar, 2001, ICANN.

A residue number arithmetic based circuit for pipelined computation of autocorrelation coefficients of speech signal

Walter Anheier, Chellu Chandra Sekhar, Ansgar Drolshagen, 1998, Proceedings Eleventh International Conference on VLSI Design.

Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space

Chellu Chandra Sekhar, R. Anitha, C. Sekhar, 2007, ISNN.

Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Information Bottleneck Based Percussion Instrument Diarization System for Taniavartanam Segments of Carnatic Music Concerts

Hema A. Murthy, Chellu Chandra Sekhar, Nauman Dawalatabad, 2018, INTERSPEECH.

Synthesizing intonation for speech in hindi

A. S. Madhukumar, Bayya Yegnanarayana, Chellu Chandra Sekhar, 1991, EUROSPEECH.

Automatic Image Annotation Using Convex Deep Learning Models

Chellu Chandra Sekhar, Niharjyoti Sarangi, C. Sekhar, 2015, ICPRAM.

Ordering and Elimination Based Component Learning Method

Chellu Chandra Sekhar, Sheetal Reddy Pamudurthy, C. Sekhar, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2005, NOLISP.

Scene Categorization Using Large Margin Gaussian Mixture Models

Chellu Chandra Sekhar, Aroor Dinesh Dileep, T. Veena, 2010, IPCV.

Identification of Block Ciphers using Support Vector Machines

Chellu Chandra Sekhar, Aroor Dinesh Dileep, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Concept Level Discriminant Analysis Techniques for Dimension Reduction in Image Classification Tasks

Chellu Chandra Sekhar, Ramya K. Raman, C. Sekhar, 2014, ICVGIP.

Kernel Entropy Discriminant Analysis for Dimension Reduction

Chellu Chandra Sekhar, Aditya Mehta, C. Sekhar, 2017, PReMI.

Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss

Mehrtash Harandi, Chellu Chandra Sekhar, Ujjal Kr Dutta, 2020, IEEE Transactions on Artificial Intelligence.

Parsing spoken utterances in an inflectional language

Bayya Yegnanarayana, Chellu Chandra Sekhar, Venkata Ramana Rao Gadde, 1989, EUROSPEECH.

A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech

G. Athithan, Chellu Chandra Sekhar, Anupam Mandal, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines

Chellu Chandra Sekhar, A. D. Dileep, Aroor Dinesh Dileep, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Clustering of Nonlinearly Separable Data Using Spiking Neural Networks

Chellu Chandra Sekhar, Lakshmi Narayana Panuku, 2007, ICANN.

A density based method for multivariate time series clustering in kernel feature space

Chellu Chandra Sekhar, S. Chandrakala, C. Sekhar, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Unsupervised Metric Learning with Synthetic Examples

Mehrtash Harandi, Chellu Chandra Sekhar, Ujjal Kr Dutta, 2020, AAAI.

Distance Metric Learnt Kernel based SVMs for Semi-Supervised Pattern Classification

Chellu Chandra Sekhar, B. S. Shajee Mohan, C. Sekhar, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings

Hema A. Murthy, Chellu Chandra Sekhar, Srikanth R. Madikeri, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Geometric Approach for Unsupervised Similarity Learning

Chellu Chandra Sekhar, Ujjal Kr Dutta, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Mixture of AR Models for Time Series Clustering

Chellu Chandra Sekhar, Venkataramana B. Kini, 2009, ICAPR.

Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features

Chellu Chandra Sekhar, S. Chandrakala, C. Sekhar, 2009, PReMI.

Recognition of continuous speech segments of monophone units using support vector machines

Kazuya Takeda, Fumitada Itakura, Chellu Chandra Sekhar, 2002, INTERSPEECH.

Affinity guided Geometric Semi-Supervised Metric Learning pdf

Mehrtash Harandi, Chellu Chandra Sekhar, Ujjal Kr Dutta, 2020, ArXiv.

HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines

Chellu Chandra Sekhar, A. D. Dileep, Aroor Dinesh Dileep, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

A Descriptor based on Intensity Binning for Image Matching

Chellu Chandra Sekhar, B. Balasanjeevi, C. Sekhar, 2014, ICPRAM.

Classification of varying length multivariate time series using Gaussian mixture models and support vector machines

Chellu Chandra Sekhar, S. Chandrakala, 2010, Int. J. Data Min. Model. Manag..

Signal processing based segmentation and hmm based acoustic clustering of syllable segments for low bit rate segment vocoder at 1.4 Kbps

Hema A. Murthy, Chellu Chandra Sekhar, Sadhana Chevireddy, 2008, 2008 16th European Signal Processing Conference.

An SVM Based Approach to Cross-Language Adaptation for Indian Languages

Chellu Chandra Sekhar, A. Vijaya Rama Raju, 2008, ICONIP.

Hyperparameters of Gaussian process as features for trajectory classification

Chellu Chandra Sekhar, G. Haranadh, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Variational Gaussian Mixture Models for Speech Emotion Recognition

Chellu Chandra Sekhar, Harendra Kumar Mishra, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification

Chellu Chandra Sekhar, B. S. Shajee Mohan, 2012, ICIAR.

Variational Bayes Adapted GMM Based Models for Audio Clip Classification

Chellu Chandra Sekhar, Harendra Kumar Mishra, Ved Prakash Sahu, 2009, PReMI.

Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features

Hema A. Murthy, Chellu Chandra Sekhar, Srikanth R. Madikeri, 2016, INTERSPEECH.

Label Correlation Propagation for Semi-supervised Multi-label Learning

Aritra Ghosh, Chellu Chandra Sekhar, 2017, PReMI.

Speaker recognition using pyramid match kernel based support vector machines

Chellu Chandra Sekhar, Aroor Dinesh Dileep, 2012, Int. J. Speech Technol..

Kernel Auto-Regressive Model with eXogenous Inputs for Nonlinear Time Series Prediction

Chellu Chandra Sekhar, Venkataramana B. Kini, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Model Based Clustering of Audio Clips Using Gaussian Mixture Models

Chellu Chandra Sekhar, S. Chandrakala, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Kernel Based Clustering for Multiclass Data

Chellu Chandra Sekhar, D. Srikrishna Satish, 2004, ICONIP.

Subspace Segmentation Based Metric Learning

Chellu Chandra Sekhar, Ujjal Kr Dutta, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Large margin mixture of AR models for time series classification

Chellu Chandra Sekhar, Venkataramana B. Kini, C. Sekhar, 2013, Appl. Soft Comput..

A constraint satisfaction model for recognition of stop consonant-vowel (SCV) utterances

Bayya Yegnanarayana, Chellu Chandra Sekhar, 2002, IEEE Trans. Speech Audio Process..

Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons

Chellu Chandra Sekhar, Lakshmi Narayana Panuku, 2007, ICONIP.

Large margin AR model for time series classification

Chellu Chandra Sekhar, Venkataramana B. Kini, 2008, 2008 19th International Conference on Pattern Recognition.

Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines

Kazuya Takeda, Fumitada Itakura, Chellu Chandra Sekhar, 2002, SVM.

Techniques for Improving the Performance of Image Retrieval using Relevance Feedback

Chellu Chandra Sekhar, Shrikant Nayak, 2014, ICVGIP '14.

Kernel based Clustering and Vector Quantization for Speech Segmentation

Chellu Chandra Sekhar, D. Srikrishna Satish, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Combination of generative models and SVM based classifier for speech emotion recognition

Chellu Chandra Sekhar, Shanmuganathan Chandrakala, C. Sekhar, 2009, 2009 International Joint Conference on Neural Networks.

Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space

Chellu Chandra Sekhar, B. S. Shajee Mohan, 2017, Pattern Analysis and Applications.

A Probabilistic approach for Learning Embeddings without Supervision pdf

Mehrtash Harandi, Chellu Chandra Sekhar, Ujjal Kr Dutta, 2019, ArXiv.

A Fast and Efficient Face Detection Technique Using Support Vector Machine

N. Sudha, Chellu Chandra Sekhar, R. Suguna, 2004, ICONIP.

Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines

Chellu Chandra Sekhar, R. Anitha, 2007, 2007 International Joint Conference on Neural Networks.

Local Density Estimation based Clustering

Chellu Chandra Sekhar, S. Chandrakala, Sheetal Reddy Pamudurthy, 2007, 2007 International Joint Conference on Neural Networks.

Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts

V. Srinivasa Chakravarthy, Chellu Chandra Sekhar, H. Swethalakshmi, 2007, ICANN.

Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching

Chellu Chandra Sekhar, Venkataramana B. Kini, 2007, ICONIP.

Representation and feature selection using multiple kernel learning

Chellu Chandra Sekhar, Aroor Dinesh Dileep, 2009, 2009 International Joint Conference on Neural Networks.

Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines

Chellu Chandra Sekhar, Aroor Dinesh Dileep, 2014, Speech Commun..

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines

Chellu Chandra Sekhar, A. D. Dileep, Aroor Dinesh Dileep, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Semi-Supervised Metric Learning: A Deep Resurrection pdf

Chellu Chandra Sekhar, Mehrtash Harandi, Ujjal Kr Dutta, 2021, AAAI.